Augmenting Household Expenditure Forecasts with Online Employee-generated Company Reviews
Bibliographic Data
| ID | 11587406 |
|---|---|
| Authors | Efthymia Symitsi (0000-0001-6371-4156), Panagiotis Stamolampros (0000-0001-8143-7244), Antonios Karatzas (0000-0002-6271-9753) |
| Year | 2021 |
| Volume | 85 |
| Issue | S1 |
| Pages | 463-491 |
| Publication date | 2021-04-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Public Opinion Quarterly (JOURNAL) |
| Journal identifiers | ISSN: 0033-362X • E-ISSN: 1537-5331 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/poq/nfab017 |
| PMID | 34899083 |
| OpenAlex | W3158119598 |
| Language | EN |
| Citations received | 3 |
| References cited | 78 |
We assess the ability of online employee-generated content in predicting consumption expenditures. In so doing, we aggregate millions of employee expectations for the next six-month business outlook of their employer and build an employee sentiment index. We test whether forward-looking employee sentiment can contribute to baseline models when forecasting aggregate consumption in the United States and compare its performance to well-established, survey-based consumer sentiment indexes. We reveal that online employee opinions have incremental information that can be used to augment the accuracy of consumption forecasting models and inform economic policy decisions
Aggregate (composite · Baseline (sea · Business · Consumer confidence index · Consumption (sociology · Economics · Index (typography · Personal consumption expenditures price index · Political science · Test (biology · Computer Science · Consumer Market Behavior and Pricing · Digital Marketing and Social Media · Media Influence and Politics · Marketing
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| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |